query question

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Msg-id CAPNY-2U9aQHp54gzw6nXN13kwjv2P1e76B=RnMyF2kvT9Qj7Vw@mail.gmail.com
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Ответы Re: query question  (Sachin Srivastava <sachin.srivastava@enterprisedb.com>)
Re: query question  (Tom Lane <tgl@sss.pgh.pa.us>)
Список pgsql-novice

Hi all,

Is there an efficient way to select the set of rows which have the max values across multiple columns?

For example given this list of data,

id_    | col1        |  col2            | col3
-------+-------------+------------------+-----------------
 19657 |          10 | 1316114172563817 |               4
 19656 |          10 | 1316114172563817 |               3
    24 |          12 | 1315847688545745 |               0
 19644 |          13 | 1316114172563817 |               0
    26 |          14 | 1315847688545745 |               0
 19646 |          15 | 1316114172563817 |               0
 19582 |          15 | 1316112258713414 |               0
 18269 |          15 | 1316023202508054 |               0
   199 |          15 | 1315936801616950 |               0
    37 |          15 | 1315847702117357 |               0
 19648 |          16 | 1316114172563817 |               0
 19583 |          16 | 1316112258713414 |               0
 18272 |          16 | 1316023202508054 |               0
   202 |          16 | 1315936801616950 |               0
    38 |          16 | 1315847702117357 |               0
 19652 |          17 | 1316114172563817 |               0
 19585 |          17 | 1316112258713414 |               0
 18276 |          17 | 1316023202508054 |               0
   206 |          17 | 1315936801616950 |               0
    39 |          17 | 1315847702117357 |               0

I would like to select the set of rows grouped by col1 which has first the highest value for col2 and second the highest value for col3.

The result set should include:

19657 |          10 | 1316114172563817 |               4
     24 |          12 | 1315847688545745 |               0
19644 |          13 | 1316114172563817 |               0
     26 |          14 | 1315847688545745 |               0
19646 |          15 | 1316114172563817 |               0
19648 |          16 | 1316114172563817 |               0
19652 |          17 | 1316114172563817 |               0

Thank you.


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